Available solution blueprints

Available solution blueprints#

Agentic Testing Framework#

A quality assurance and testing framework that leverages autonomous agents to design, execute, and analyze tests for software applications. This framework enables continuous testing and validation by utilizing AI-driven agents to identify bugs, performance issues, and usability concerns.

Latest version#

Agentic Testing Framework (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-agentic-testing

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-agentic-testing
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-agentic-testing \
  | kubectl apply -f - -n $namespace

Agentic Machine Translation#

This translation blueprint illustrates how language translation can be implemented using AIMs. It is using agentic translation, employing multiple LLM agents agents working collaboratively — where models critique, evaluate, and refine each other’s outputs — to improve the overall quality of the translation.

Latest version#

Agentic Machine Translation (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-agentic-translation

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-agentic-translation
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-agentic-translation \
  | kubectl apply -f - -n $namespace

AutoGen Studio Agentic Platform#

Create and deploy agentic AI applications with a no-code, visual interface. Autogen Studio enables users to design, test, and launch AI agents that can autonomously perform complex tasks by integrating language models, tools, and workflows.

Latest version#

AutoGen Studio Agentic Platform (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-autogenstudio

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-autogenstudio
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-autogenstudio \
  | kubectl apply -f - -n $namespace

Continue.dev Coding Assistant#

The continuedev-assistant is an AI pair programmer that integrates into your code editor in the browser. It uses large language models LLMs to suggest code snippets, functions, and even entire modules as you type. This solution provides you with a local LLM of your choice to predict, fix and discuss the code while you are developing.

Latest version#

Continue.dev Coding Assistant (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-continuedev-assistant

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-continuedev-assistant
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-continuedev-assistant \
  | kubectl apply -f - -n $namespace

Financial Stock Intelligence#

A sophisticated financial analysis tool that combines real-time stock data, technical indicators, and Large Language Model (LLM) analysis to provide comprehensive stock insights.

Latest version#

Financial Stock Intelligence (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-fsi

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-fsi
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-fsi \
  | kubectl apply -f - -n $namespace

LLM Chat Sandbox#

Get a feel for your LLM in a safe sandbox. Explore prompting techniques, validate outputs, and understand model behavior before embedding LLMs into critical enterprise workflows.

Latest version#

LLM Chat Sandbox (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-llm-chat

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-llm-chat
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-llm-chat \
  | kubectl apply -f - -n $namespace

Talk to your documents#

This blueprint deploys a Retrieval-Augmented Generation (RAG) application which allows you to talk to your documents. It uses a vector database (ChromaDB) to store document embeddings and a large language model (LLM) to answer questions based on the retrieved context.

Latest version#

Talk to your documents (stable)

Download this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-talk-to-your-documents

Deploy this blueprint

helm pull oci://docker.io/amdenterpriseai/aimsb-talk-to-your-documents
name="my-deployment"
namespace="my-namespace"
helm template $name oci://docker.io/amdenterpriseai/aimsb-talk-to-your-documents \
  | kubectl apply -f - -n $namespace